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1.
Pan Afr Med J ; 33: 18, 2019.
Article in English | MEDLINE | ID: mdl-31312334

ABSTRACT

INTRODUCTION: odontogenic tumors originate from neoplastic transformation of the remnants of tooth forming apparatus. There are varying degrees of inductive interactions between odontogenic ectomesenchyme and epithelium during odontogenesis, leading to lesions that vary from benign to malignant. Malignant odontogenic tumours (MOTs) are very rare and are classified according to embryonic tissue of origin. Recently, there has been a few changes to the classification of MOTs according to the World Health Organization's (WHO) classification in 2017. This study aims to evaluate and reclassify MOTs, using a multi-centre approach in some major tertiary dental hospitals in Nigeria. METHODS: this study reviewed the clinicopathological data on 63 cases of MOT diagnosed over 25 years in five major tertiary dental hospitals in Nigeria. All MOT cases were reclassified according to the recent revision to the 2017 WHO classification of odontogenic tumours. RESULTS: from a total of 10,446 biopsies of oral and jaw lesions seen at the 5 study centres over the 25-year study period, 2199 (21.05%) cases were found to be odontogenic tumours (OTs), of which 63 were MOT. MOTs constituted 0.60% of the total biopsy cases and 2.86% of OTs. Odontogenic carcinomas presented with a mean age higher than odontogenic sarcomas. According to our 2017 WHO reclassification of MOTs, odontogenic carcinomas, ameloblastic carcinomas and primary intraosseous carcinomas were found to be the top three lesions, respectively. Carcinosarcomas were found to be extremely rare. CONCLUSION: using a multi-centre approach is a robust way to reduce diagnostic challenges associated with rare maxillofacial lesions such as MOTs.


Subject(s)
Ameloblastoma/epidemiology , Carcinosarcoma/epidemiology , Jaw Neoplasms/epidemiology , Odontogenic Tumors/epidemiology , Adolescent , Adult , Age Factors , Aged , Ameloblastoma/diagnosis , Ameloblastoma/pathology , Biopsy/methods , Carcinosarcoma/diagnosis , Carcinosarcoma/pathology , Child , Child, Preschool , Female , Humans , Jaw Neoplasms/diagnosis , Jaw Neoplasms/pathology , Male , Middle Aged , Nigeria/epidemiology , Odontogenic Tumors/diagnosis , Odontogenic Tumors/pathology , Retrospective Studies , Young Adult
2.
Afr Health Sci ; 19(1): 1677-1686, 2019 Mar.
Article in English | MEDLINE | ID: mdl-31148998

ABSTRACT

INTRODUCTION: Ameloblastoma is the most common odontogenic tumour in Nigeria. A definite geographic variation has been observed in the frequency of odontogenic tumors from different parts of the world. However, there is no study on the regional variations in Nigeria. Hence, this study was designed to document the ethnic and geographical distribution of jaw ameloblastoma in Nigeria. METHODS: Archival data on ameloblastoma from 10 health facilities were obtained. Global Moran's I detected geographic clustering in its distribution while Local Getis Ord indicated the location of ameloblastoma clusters. Chi-square tested associations between variables at 0.05 level of significance. RESULTS: A total of 1,246 ameloblastoma cases were recorded in Nigeria. Besides substantial state variations, a South-North gradient was noticed in its distribution. Significant positive spatial autocorrelation was observed in the three major groups while ameloblastoma hotspots were found in the SouthWestern and Northwestern Nigeria. The Igbos had a higher prevalence of ameloblastoma outside their home region than within. CONCLUSION: The study hypothesized that the geographical distribution of ameloblastoma in Nigeria is the result of all or one of the following: the country's tropical climate, migration patterns and health seeking behavior. Hopefully, these claims should lead to further enquiry on the underlying causes.


Subject(s)
Ameloblastoma/ethnology , Ethnicity/statistics & numerical data , Jaw Neoplasms/ethnology , Adolescent , Adult , Aged , Ameloblastoma/pathology , Cluster Analysis , Female , Hospitals, Teaching , Humans , Jaw Neoplasms/pathology , Male , Middle Aged , Nigeria/epidemiology , Prevalence , Spatial Analysis
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